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Energy consumption data is the basis of building energy conservation.
Different calculation methods will lead to different data.
It establishes the decision tree based on the information included in historical data and forecasts the data based on the established rules.
Assume the sample set T includes m categories of data, then
Summary This paper puts forward the global modeling method of building energy consumption data.

Reduction of heavy-metal content in overburden material by bacterial action I.
Reduction of heavy metals content of overburden is very important to minimise the heavy metal spread into environment and to recovery soils for filling the exhausted mining sites followed by reforestation.
About 60 % of cobalt and almost totally manganese (data not shown) were leached at both pulp densities.
kinetic by cultures of A. thiooxidans in medium 0K, 1 % w/v S, and different pulp densities of ore B. pH kinetic by cultures of A. thiooxidans in medium 0K and different % w/v S and pulp densities (pre cultured during 48 h). 1 2 4 0 20 40 60 extracted metal [%] sulphur [w/v %] C G I K M pulp density 5% pre-culture time 48h A b a d c a c b d 1 2 4 0 20 40 60 extracted metal [%] sulphur [w/v % ] C G I K M pulp density 7.5% pre-culture time 48h B b a c a c b e d d e g f f g i h h i 0 50 100 150 200 250 300 350 400 Fe i ii iii iv v vi vii 0.00 0.05 0.10 0.15 0.20 Co Before After i ii iii iv v vi vii 0 2 4 6 8 10 12 14 16 18 20 Cr 0.0 0.2 0.4 0.6 0.8 1.0 1.2 Mn 0 1 2 3 4 5 6 Ni 0.0 0.5 1.0 1.5 2.0 2.5 Mg According to our results, it is clear that the bioleaching procedure allows important cobalt and manganese recoveries (even economically valuable) and a reduction

The calculated spin Hamiltonian parameters are in reasonable agreement with the experimental data.
Thus, the spin-orbit coupling coefficients and the orbital reduction factors are calculated from Eq. 3 and the free-ion values d 0 (Mn 2+ )  347 cm 1 [11] and p0 (S 2 )  365 cm 1 [20].
Substituting these values into Eq. 1 and fitting the 2A 4A 4A 2A 4A 4A 2A 4A 4A 2A 4A theoretical D to the experimental result, one can obtain the impurity shift Table 1 Spin Hamiltonian parameters for the trigonal Mn 2+ center in CdS at 300K D (104 cm 1) g// g A// (104 cm 1) A (104 cm 1) Cal. a 85.2 2.0021 2.0009 64.5 66.0 Cal. b 9.5 2.0021 2.0021 64.5 65.8 Cal. c 8.4 2.0021 2.0021 64.5 65.8 Expt. [8] 8.2 2.0029 2.0029 65.3 65.3 a Calculations based on the host structural data (i.e., Z= 0 ) of Cd2+ site and inclusion of the ligand contributions.
Discussion It can be found from Table 1 that the calculated spin Hamiltonian parameters (Cal. c) based on the impurity axial shift Z and the ligand contributions are in better agreement with the experimental data than those based on omission of the impurity shift (Cal. a) or the ligand contributions (Cal. b).
From the present cluster approach calculations, the anisotropies (relative differences) '/ 1 and k'/ k1 are, respectively, 25% and 7% for the spin-orbit coupling coefficients and the orbital reduction factors.

Compared with reinforced concrete beam without steel fiber, beams joined steel fiber can effectively reduce the crack width, the reduction of steel fiber reinforced concrete beams crack width are 52%~ 121% under different fatigue cycles.
In the Fig. 3b, it is shown that beams with end-hook steel fiber got the most remarkable effect, the reduction of fatigue crack width are 38%~110% compared with other two types of steel fiber.
The reduction of maximum crack width are 26%~87% following with the range growth of the steel fiber adding.
For simplified calculation the formula of crack spacing can be written as: (8) k is the fatigue crack spacing coefficient considering the influence of steel fiber, according to the analysis of the test data in this paper: k=0.78.
(9) Because reduction coefficient of tensile stress of concrete qf and amplifying coefficient of tensile stress of steel hf are all probably relative to Fatigue cycles (N), setting ，，the calculation formula for fatigue crack width can be written as: (10) Considering the linking up with the current ordinary concrete structures and steel fiber concrete component calculation formula, and for convenient calculation, according to calculation model, the calculation formula for crack width of steel fiber high-strength concrete beams is simplified as: (11) In the formula, n is the comprehensive correction factor for fatigue crack width of steel fiber reinforced high-strength concrete beams, according to the test data by regression analysis , n=1.4，a=-1.2518, b=0.5458; wmax is the maximum crack width not considering the effect of steel fiber, lf is the represent

Method and Data Estimation A benefit-cost analysis method is used in this paper, and the costs and benefits considered for an intercity railway are concluded in Table 1.
Costs and benefits considered Costs Benefits Infrastructure (I) Rolling Stock (S) Operation (O) Infrastructure maintenance (M) Residual value (R) Time saving (TS) from other modes Cost reduction (CR) in alternative modes Reduction of external costs (REC) in: Energy consumption and emissions The paper takes Beijing-Tianjin Intercity Railway as an example.
Reduction costs of Energy consumption and emissions are mainly considered in this part.
Energy consumption of railway is 83.05% lower than highway (see Table 3).The transfer demand from highway to intercity railway should be measured as reduction of energy consumption, assuming that the energy consumption of national railway and intercity railway is similar.
Modes Before After 2007 2008 2009 2010 Car and bus 29.42 28.05 30.01 31.04 National railway 20.23 19.70 16.37 17.38 Intercity railway ----- 4.23 9.79 11.83 Total 49.65 51.98 56.17 60.25 Source: data from statistics and reports of railway design department.

Preparation of a Magnetic, Hydrophilic and Bacteria Attachable Ceramsite and Its Application in Wastewater Treatment Zhi-Fang ZHU1,a, Jian-Zhong ZHU1,b,*, Liang CHEN2,c, Jian-Biao CHEN3,d and Min JI1,e 1Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, China 2Qinhuai River Adm, Nanjing,Jiangsu210010, Peoples R China 3Nantong Hydrographic Office Nantong,Jiangsu226000, China a873710641@qq.com, bzhuhhai2010@hhu.edu.cn, c987203352 @qq.com, d924901400@qq.com, e942548695@qq.com *Corresponding author Keywords: water retention, void fraction, magnetic powder, organic reduction rate Abstract.
And the performance of the modified ceramsite in the contact aeration bioreactors was compared with the packing which without magnetic powder, polyvinyl alcohol and amylum showed that the modified ceramsitethe had obviously advantages in terms of time it took for the reactors to attain the stable treatment, organic reduction rate and water retention.
Summary The present data has demonstrated that the optimal percentage, cement 15g, lime 8g, gypsum 2g, amylum 2g, expanded perlite 10g, polyvinyl alcohol 3g, magnetic powder 7g, sodium bicarbonate 5g, fly ash 45g and binder 10g respectively, can be used as components for production of the novel biological ceramsite with desired physical properties, the physical parametres were 49.72% for the void fraction, 21.96% for water retention.

Acquire bearing 4 typical state of vibration signal of a total of 400 sample data respectively normal state,ball fault, inner ring fault and outer ring fault.
All bearing vibration signal of 400 sample data are decomposed by improve EEMD after EEMD threshold noise reduction.The bearings four different state of 400 group IMF component and surplus R are got.The energy of the IMF component and the surplus R and normalization are worked out.
With high dimension large sample results comparison.All 400 group bearing vibration signal sample data to improve the EEMD threshold noise reduction processing.improved EEMD again decompose the de-noising sample signal to get the bearings four different state of 400 group IMF and residual R.Total get 400 group 9d (8d IMF component C1 ~ C8 and 1d surplus R) normalized energy as a sample characteristic vector.
(2) classification accuracy under the less sample data in less 5 d characteristic vectors by RBF kernel function under Sigmoid kernel function is relatively low.
Advances in Adaptive Data Analysis，Vol.1(2009),p1-41 [5] Meijun Zhang,Sichen Han,Chuang Wang and Shuguang Li.

The crank-angle (CA) measurement is sensed by an optical sensor and the data are acquired on a Personal Computer (PC).
Once the engine reached the steady-state condition, air and fuel flow rates along with the various temperature readings were recorded and inserted manually to the software program to acquire the performance and combustion data.
At lower loads of 0 to 40%, this reduction was found maximum (about 30 to 40%).
In the range of 0 to 40% loads, the reduction in heat release rate of the dual fuel mode was higher.
Ÿ At best efficiency loading point, about 23% reductions in thermal efficiency was found

In their experiment, major reactive species were reproduced by Gri1.2 mechanism, but some divergences of both CH and H2 occur between the experimental data and predicting results of Gri1.2.
At the present work, both a reduction mechanism based on Gri_Mech 3.0 and laminar premixed model was applied to numerically analyse nitrogen oxides formation in a laminar premixed flame of CH4/air.
When chemical equivalence ratio is less than 1.3, computing results is in agreement with experimental data; when chemical equivalence ratio is larger than 1.3, computing results has a big deviation from experimental data.
Fig. 6 A comparison of calculating results of burning velocity with experimental data Conclusions A numerical study on nitrogen oxides formation for a laminar premixed flame of CH4/air was performed.
The computing results are in agreement with experimental data.

Design of data modeling Design of system data modeling mainly include several follow stages :demand analysis , design of concept data model, design of physical data model and database running.
The design of physical data model is a key part of the system development.
Now, there are many popular tools for system data modeling such as PowerDesigner, Erwin, Rose etc [6].
Fig.2 Physical data model of user-defined visual workflow B.
SqlServer2005 as the data base management system.